"Garrett Birkhoff wrote (in 1948): Everybody speaks of probability, but no one is able to say what it is, in a way which is satisfactory for others." page 511 de Finetti book

The topics of the Summer School on Applied Mathematics and Mechanics (SAMM) are Bayesian inference and uncertainty quantification, data analysis and processing. Bayesian inference is "rippling through everything from physics to cancer research, ecology to psychology,” (The New York Times). The main idea of this summer school is to give a more detailed insight into the Bayesian probabilistic way of thinking and numerics behind of that. The lectures will be given on probability theory, uncertainty quantification and data analysis starting from the basics but also emphasizing their application in everday life. Some of topics that will be covered are

The school is open to international postdoc researchers up to two years after PhD studies, PhD and advanced undergraduate students from engineering sciences or mathematics. Please visit registration page.